All Tesla FSD Visualizations and What They Mean

By Nuno Cristovao

Updated: September 21st, 2022 as of FSD Beta 10.69.2.2

Tesla has slowly added more visualizations to the car display, showing what the car can detect and respond to in its environment. Tesla initially showed just road markings and some vehicles, but then slowly added more vehicle types, pedestrians and traffic cones.

However, with the release of FSD Beta version 9, Tesla has drastically increased the amount of objects the car can visualize and interact with.

The visualizations in the car aren't tied one-to-one with what the car is capable of detecting and using to make decisions. However, Tesla keeps visualizations and object detection closely coupled so that drivers have a good understanding of what the car can see.

Unidentified Objects

FSD Beta 10.69.2 will now display objects it can not recognize
FSD Beta 10.69.2 will now display objects it can not recognize
Not a Tesla App

As of FSD Beta 10.69.2 the vehicle visualizations will now display unidentified objects or debris. The shape of the visualization will not match the actual object, but it will be displayed as a pile of debris.

This lets the driver know the vehicle is aware of an object in its path or surroundings, but that it can not yet idenfiy what the object is.

Vector-based Lanes

Vector-based lanes
Vector-based lanes
Chazman/Twitter

As of FSD Beta 10.11, your Tesla will now display vector-based lanes. This means that the lanes are not just raster-based lines drawn in a 3D environment, but that Tesla is actually building the lane markings with vector-based graphics.

This gives Tesla additional freedom when choosing how to display the lanes on the car's display.

With this update, Tesla now fills in the lane in blue when your vehicle is changing lanes. This was something Tesla couldn't do before since the lane markings were just drawn lines.

The new vector-based graphics will scale well to any size and reduce blurring and pixelation you normally see on the display with lane markings and road edges.

Since lane markings are now vectors, hopefully, Tesla will soon apply the same process to other markings, such as the road edges.

Scalable Vehicle Models

All vehicles that Tesla displayed were pre-defined static-sized assets. However, in the 10.10.2 FSD update, we are now seeing Tesla scale individual vehicle models so that they represent the calculated size of surrounding vehicles. Contextually this could be helpful in better understanding our car's situation in the world.

Tesla now shrinks or stretches the 3D vehicle models in each dimension so that the 3D model matches the calculated dimensions for each vehicle. This is especially apparent in longer vehicles such as buses, trucks, and tractor-trailers, where the vehicle lengths are more likely to vary, but you can also see it scale other vehicle models such as very small cars.

In this example below, you'll see that Tesla is now able to accurately represent buses of different sizes. Tesla only has a model for a full length bus, but in this case, Tesla detected that the length of one of the buses is considerably shorter than the vehicle model so it chose to reduce the length of the bus to the length Autopilot had calculated. In the image below you can see how the same bus model is shown in two different sizes.

Tesla adds scalable vehicle models to the latest FSD Beta
Tesla adds scalable vehicle models to the latest FSD Beta

You can also read more details or see additional examples of Tesla dynamically scaling vehicle models.

Road Users

Vulnerable road users or VRUs as Tesla calls them are pedestrians and other users of the road that the car must be especially careful with.

Tesla already does a good job displaying some of these, but there is room for improvement here since it’s such a critical area. We hope that Tesla will add additional animals and sidewalk detection in future updates.

Pedestrians

Pedestrians are one of the few objects that feature an animation. If the pedestrian is walking, you'll see them animated on the screen.

Tesla FSD visualizations
FSD Beta visualizations start representing the real world
DirtyTesla/YouTube

Bicycles

Bicycles are visualized separately from motorcycles.

Dogs

Tesla recently added a visualization for a dog which shows up for dogs and other similarly sized animals. It's likely Tesla will add more animals in the future such as squirrels, deer and other common animals seen on roadways.

Tesla FSD visualization of a dog

Objects

Garbage/Recyling Bins

This is an object that's also displayed outside of the FSD Beta.

Traffic Cones

Traffic cones are also displayed outside of the FSD Beta and are displayed in orange. The car will display them for cones, construction barrels or sometimes mailboxes.

Speed Bumps

The car has been reacting to speed bumps for the last few betas, but they're now visualized on the screen with small arrows on them, which is a nice improvement.

Tesla visualization speed bumps
As of beta 10.4, speed bumps now appear in the visualization
Frenchie/YouTube

Poles

These poles can often be seen on the side of some highways and are displayed as short gray sticks at the edge of the road.

Tesla visualization poles
FSD Beta shows a visualization for small poles
Frenchie/YouTube

Vehicles

Tesla displays the most common vehicle types. Obviously, Tesla will need to expand this list once they expand to some other countries where other vehicle types are popular. Elon has said in the past that Tesla will visualize other Teslas specifically in the car. Recent car data shows that Tesla is already identifying whether a car is a Tesla and what model it is. This is a nice addition, but really would likely have little benefit to FSD. Tesla may provide car-to-car communication if it detects there's another Tesla nearby, which could make some situations easier, such as the right way of situations.

Another vehicle type I'd like Tesla to react better to and visualize are trailers. There are many types of trailers and they often have segments you can see through, so this may be a little tougher, but it's an important vehicle type to add.

New Vehicle Models

Vehicle models are now much more detailed
Vehicle models are now much more detailed
Not a Tesla App

FSD Beta 10.12 introduces new vehicle models for almost every vehicle type.

Some of the vehicles have been completely redesigned and are more detailed and realistic looking than the previous models.

For example, a sedan now has wheels, windows and a glass roof, instead of the previous simplistic look that resembled a Model S keyfob.

Vehicle models are now much more detailed
Vehicle models are now much more detailed
Tesla_Raj/Twitter

Tesla currently shows seven different vehicle types, which include:

  • motorcycles
  • sedans
  • minivans/SUVs
  • pickup trucks
  • small trucks
  • tractor trailers
  • buses

Own Vehicle Attributes

When Autopilot is enabled you'll see a single line that determines the path the car is going to take. This is similar to using Navigate on Autopilot on the highway, except in this case the visualization is dotted and changes color.

Creep Visualization

A new visualization was introduced in FSD Beta 10.69 that allows you to visually see how far your vehicle is expected to creep forward. Prior to this visualization it was impossible to determine how far your vehicle was going to creep, which could make the driver feel uncomfortable in busy areas.

You can now visually see until where your vehicle will creep forward
You can now visually see until where your vehicle will creep forward
Chuck Cook/YouTube

Vehicle Path

The vehicle's intended path
The vehicle's intended path
DirtyTesla/YouTube

The line in front of the vehicle denotes the path the car is planning to take. The color of the path will vary, letting you know whether the car will be accelerating or braking at the given location.

As of FSD Beta 10.8, the line is now continous and blue. The darker blue portion of the line denotes that the vehicle will accelerate until it gets to the faded blue portion of the path. The faded blue segment represents when the vehicle will stop.

This is extremely helpful as it lets you know when the vehicle is planning to stop.

Prior to FSD Beta 10.8, the vehicle's path was shown as a dotted gray and teal line. When the dot is teal it shows that the vehicle is planning to continue moving at that location.

Tesla visualization displaying teal dots and what it means
The teal path represents when the car will accelerate
DirtyTesla/YouTube

In contrast to the teal path, the gray line denotes that the vehicle will not be accelerating at that location.

Ultrasonic Sensor Arcs

If the vehicle detects an object through its ultrasonic sensors, it will display an arc on the display in the direction of the object. The arc will change color depending on the distance of the object. The colors range from gray (furthest away), to yellow and red (closer object).

Road markings

There are various markings on the ground that help aid drivers and pedestrians.

Stopping Line

When coming to a red traffic light or a stop sign, you'll see the stopping line displayed. You may see it displayed in the car even if it's not on the road itself.

Crosswalks

Crosswalks have been displayed in FSD Betas for a while, but recently their visualization has been changed to a solid gray area inside of a pair of parallel lines. I'd like to see a texture added on top of these to include the often used crossing stripes on crosswalks.

Tesla displaying crosswalks

Arrows on Road

Arrows on the road which are often used to display which direction you can go in the given lane are displayed in the visualization.

Tesla visualization displaying road arrows

Images on the Road

Tesla FSD railroad crossing
Tesla FSD railroad crossing

Certain roads may contain images directly on the pavement to indicate a special use case. The car can correctly identify bicycle lanes, railroad crossings and handicap parking spots.

Tesla FSD can identify handicap parking spots
Tesla FSD can identify handicap parking spots

Words on the Road

Sometimes words are painted directly on the road. The car will only display a small subset of words that are seen while driving. You may see Stop and some others, but it's important to note that the car is not able to decipher each letter on the road and put together a word. The text shown in visualizations is predetermined.

Road Chevrons

You may occasionally see chevrons displayed in your lane. This visualization is not mimicking a real world object, but is instead used to let you know the car is slowing down because your lane is moving much faster than adjacent lanes.

Object Colors and Attributes

Sometimes you may see an object in the visualization change color. There are various visualization that change color to represent a special meaning.

Red Pedestrian

Similar to when a vehicle turns red, you may see a pedestrian flash red if your car is approaching a pedestrian too quickly.

Tesla warning you about a pedestrian
Tesla warning you about a pedestrian

Red Stopping Line

You'll sometimes see a stopping line turn red if you're approaching a stop sign or red light.

Blue Vehicle

If a vehicle turns blue in the visualization it means that this vehicle is in or will be in the direct path that your vehicle is planning to take. It will return to it's normal shade of gray once it passes.

Tesla visualization displaying blue cars and what it means

Red Vehicle

A vehicle will turn red when immediate action is required, such as in a Forward Collision Warning. The car has deemed that its rate of speed is too high based on the distance and speed of the vehicle in front of you.

Dark Gray Vehicle

A vehicle will turn a darker shade of gray if it's considered a lead vehicle. Your car uses a lead vehicle to help determine what to do. If your car is headed in the same direction as the lead vehicle it will follow it and use the lead vehicle to help determine the path your car should take.

A dark gray vehicle represents a lead vehicle
A dark gray vehicle represents a lead vehicle
DirtyTesla/YouTube

Brake lights

Brake lights are now displayed on other vehicles. This helps give the car another cue of when to slow down instead of basing it on the distance of the vehicle alone.

Elon has already said that Tesla will be expanding this beyond just brake lights and we'll see the car detect and react to turn signals, hazards, hand gestures and more.

The brake lights visualization has been improved
The brake lights visualization has been improved
@FrenchieEAP/Twitter

Traffic control

Traffic Lights

Tesla FSD displays traffic lights with arrows
Tesla FSD displays traffic lights with arrows

Traffic lights are displayed in collections of three and will display solid or flashing colors. The car will also display red, yellow or green arrows. You may see traffic lights displayed in other areas that use flashing lights such as "slow" signs or railroad crossings.

The visualization in the car is currently only capable of displaying the traditional three traffic lights, so regardless of how many lights there are in the object your car is detecting, it'll always display a 3-light traffic light.

Tesla visualization traffic lights

Speed Limit Signs

The car will detect and display various speed limit signs. It's not able to detect arbitrary signs, such as 23 MPH, but it will display predetermined speed limit signs.

Stop Signs

Stop signs are also displayed in red. As Tesla continues to develop FSD, I'd love to see Tesla augment real world data with map data. If the car is at an intersection that it knows there are stop signs in all directions, that's useful data when deciding when to go. It would also be a useful aid when someone is not in Autopilot, warning drivers that the crossing street does not stop.

Lines & Curbs

The car will display major lane markings and display them based on the road width and curvature. The car determines the road edges using only vision and it does not rely on map data to determine where roads are located or configured.

Single/Double Yellow Lines

Tesla visualization red lines showing a curb

The car will display continuous yellow lines and display them in yellow on the display.

Continuous/Dashed White Lines

Continuous white lines are also very accurately displayed

Red Lines

Red lines in the visualization determine the road edge and determine the driveable area for the vehicle. The red line may be at the same location as a yellow or white line if there is no space before the curb. You may also often see a large gap between a white or yellow line and the red line, which can be due to an emergency lane or large space before the curb.

Future Visualizations

Tesla continues to add more objects that the car is able to detect, react to and visualize in every update.

The latest update added speed bumps and improved sidewalks. The car can already detect emergency vehicles, but they're not displayed on the screen yet, but we know they're coming as models have already been found in recent Tesla firmware.

Teslas will soon be able to identify various emergency vehicles, including motocycles. They will also display sirens on the vehicles.

Tesla has come a long way in a short period of time with how many objects they're able to detect, but obviously when you compare the environment the car sees to the real world, there is still a lot missing.

In the short-term we'll likely see a bunch more objects visualized. We'll likely see other common objects added, especially if they appear on the road, such as trailers and gates.

In the future, I think we'll see Tesla display a rich, fuller 3D environment that will display static objects that the car will want to avoid in case of an accident, such as buildings, walls, trees, sidewalks and more.

Have a visualization we missed? Let us know and we'll add it.

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Tesla’s Giga Berlin Artwork: Where Creativity Meets Autonomy [VIDEO]

By Karan Singh
@tobilindh on X

Back in 2021, while Giga Berlin was still undergoing construction, Elon Musk said that he wanted to fill the factory with graffiti artwork. Just months later, Tesla posted a submission link to find local artists for the project.

It remained relatively quiet for about two years until Musk resurfaced with a post congratulating the team on their progress—and revealing that the factory’s concrete would be entirely covered in art. By 2023, that vision was already taking shape. Tesla began by collaborating with local artists, who created much of the artwork seen in the 2023 image above.

The Giga Berlin West Side in 2023
The Giga Berlin West Side in 2023
Not a Tesla App

Graffiti at Scale

As expected from Tesla, they didn’t just hire a group of artists to paint and scale the walls. True to their ethos of autonomy, robotics, and innovation, they sought a more futuristic approach. The local crews couldn’t work fast enough or cover enough ground, so Tesla did what it does best—push the boundaries of technology.

Covering an entire factory in art is a massive undertaking, especially when that factory spans 740 acres (1.2 sq mi / 3 km²). With such an immense canvas, Tesla needed a high-tech solution.

More of the awesome digital artwork
More of the awesome digital artwork
@tobilindh on X

Enter a graffiti start-up that had developed a robotic muralist. Tesla partnered with the company, sourcing digital artwork from independent artists while also commissioning pieces from its in-house creative team. Armed with this collection, the robot meticulously printed the artwork directly onto the factory’s concrete, turning Gigafactory Berlin-Brandenburg into a futuristic masterpiece.

The Robot

Not a Tesla App

This ingenious little robot is equipped with a precision printhead and a sophisticated lifting mechanism. It moves using two kevlar cables that allow it to glide up, down, left, and right while a pair of propellers generates downforce to keep it steady against the wall.

The printhead itself is capable of painting approximately 10 million tiny dots per wall, adding up to a staggering 300 million dots just for the west-facing side of Giga Berlin. Each mural features five distinct colors, and the robot carries 12 cans of paint, ensuring it can keep working for extended periods without interruption.

Check out the video below to see the robot action, along with mesmerizing time-lapse footage of the printing process. It’s an exciting glimpse into how Tesla is blending technology and creativity at Giga Berlin—and we can’t wait to see what’s next.

What’s Coming Next in Tesla FSD V14

By Karan Singh
Not a Tesla App

With FSD V13.2.6 continuing to make its way to AI4 vehicles, Tesla has been on a streak with minor FSD improvements since the launch of FSD V13 just a little over two months ago. 

FSD V13 brought a new slate of features, including Start FSD from Park, Reverse, and Park at Destination. It also introduced full-resolution video input using the AI4 cameras at 36hz and made use of the new Cortex supercomputer to get faster and more accurate decision-making.

So, what’s next with FSD V14? Tesla gave us a sneak peek at what’s next for FSD.

FSD V14

The standout feature of FSD V14 will be auto-regressive transformers. While that’s a complex term for those unfamiliar with AI or machine learning, we’ll break it down.

Auto-Regressive

An auto-regressive transformer processes sequential data in time, using that information to predict future elements based on previous ones. Imagine completing a sentence: You use the words already written to guess what comes next. This process isn't just about filling in the blank; it's about understanding the flow of the sentence and anticipating the speaker's intent.

FSD could analyze a sequence of camera images to identify pedestrians and predict their likely path based on their current movement and surrounding context. The system's auto-regressive nature allows it to learn from past sequences and improve its predictions over time, adapting to different driving scenarios.

Today, FSD reacts to what it sees, but soon it’ll be able to anticipate what will help, much like humans.

Transformers

The second part of that term is transformer, which is a component used to understand the relationships of elements inside a time sequence. It identifies which parts of the input are most crucial for making accurate predictions, allowing the system to prioritize information much like a human would. Think of it as weighing different pieces of evidence to arrive at a conclusion. For example, a transformer might recognize that a blinking turn signal is more important than the color of the car when predicting a lane change.

Putting It Together

Putting all that together, Tesla’s use of auto-regressive transformers means they’ll be working on how FSD can predict the plans and paths of the world around it. This will improve FSD’s already powerful perception and allow it to predict how other vehicles and vulnerable road users (VRUs) will behave.

What it all comes down to is that FSD will be able to make better decisions and plan its paths by making more informed, human-like decisions. That will be a big step towards improving V13 - which already has some very effective decision-making.

Larger Model and Context Size

Ashok Elluswamy (Tesla’s VP of AI) stated that FSD V14 will see larger model and context sizes in FSD V14, which coincidentally are listed in the upcoming improvements section of FSD V13.2.6. If we compare what Ashok said to what’s listed in the upcoming features section, the model and context sizes should grow by 3x.

Interestingly, Ashok says that AI4’s memory limits context size. Context is essentially the history of what the vehicle remembers, which is used for future decisions. Since this information is stored in memory, it’ll always be limited by memory, but it’s worth noting that Ashok mentioned that Tesla is restricted by the memory in the AI4 computer.

Leverage Audio Input

Tesla is already gathering audio data in existing FSD versions so that it can start training models with audio as well, truly making FSD more human-like. According to Ashok, FSD V14 will be the first version to take advantage of audio input for FSD driving. This will primarily be used for detecting emergency vehicles, but we can see this expanding to other sounds that help humans adjust their driving, such as car crashes, loud noises, honking, etc. At the very least, FSD could be more cautious when hearing a noise that matches an accident or vehicle honking.

FSD V14 Release Date

We haven’t heard from Elon Musk or Ashok Elluswamy about when FSD V14 will arrive. Ashok previously stated that FSD V13.4 would see audio inputs being used, but at Tesla’s earnings call, Tesla said that audio input would become relevant in V14, making it seem like Tesla may scrap V13.4 for V14.

Since Tesla is planning to launch their Robotaxi network in Texas this June, which is just four months away, FSD V14 may be the version used for its autonomous taxi fleet.

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